At a Glance
- Tasks: Join a major transformation programme, managing data onboarding and resolving discrepancies.
- Company: Tier 1 Bank with a focus on innovation and analytics.
- Benefits: Competitive daily rate, hybrid work model, and exposure to cutting-edge financial technology.
- Other info: Ideal for those based in Northern Ireland seeking career growth in a dynamic environment.
- Why this job: Make a real impact in financial services while developing your analytical skills.
- Qualifications: Strong Excel skills, experience in financial services, and ability to manage multiple projects.
The predicted salary is between 30000 - 40000 £ per year.
This role will play a key part in a major global transformation programme focused on migrating Fixed Income bond analytics from legacy platforms to strategic risk and analytics systems. The position involves managing the onboarding of countries and branches onto new analytics platforms, performing detailed reconciliations of bond data, pricing and cashflows, investigating and resolving discrepancies, coordinating testing activities, and working closely with Front Office, Quantitative Analytics and Technology teams.
What I'm looking for:
- Ability to compare complex datasets, investigate discrepancies, validate financial data and track issues through to resolution.
- Proven capability using Excel to analyse large data sets, perform reconciliations and support testing and validation activities.
- Experience working within financial services, with the ability to engage independently with Front Office, Technology and business stakeholders while managing multiple workstreams and project deliverables.
- Any exposure to working on change projects as opposed to BAU work would be a bonus.
- Any work with Python, SQL, or R would be a bonus.
THERE IS NO SPONSORSHIP AVAILABLE - CANDIDATES MUST BE BASED IN NORTHERN IRELAND.
Data Analyst in Belfast employer: Harvey Nash Group
As a leading Tier 1 Bank, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. With a strong focus on professional development, we offer numerous growth opportunities and the chance to be part of a transformative global programme in Belfast, where you can make a meaningful impact while enjoying a hybrid work model that promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Belfast
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Harvey Nash Group before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Harvey Nash Group.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Harvey Nash Group.
We think you need these skills to ace Data Analyst in Belfast
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Harvey Nash Group, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Harvey Nash Group, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Harvey Nash Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at Harvey Nash Group
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Harvey Nash Group.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Harvey Nash Group.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Harvey Nash Group.
